OPTIMUS: Online Persistent Tracking and Identification of Many Users in a Smart Space

Abstract

A smart space, which is embedded with networked sensors and smart devices, can provide various useful services to its users. For the success of a smart space, the problem of tracking and identification of smart space users is of paramount importance. We propose a system called 'Optimus' for persistent tracking and identification of users in a smart space, which is equipped with a camera network. We assume that each user carries a smartphone in a smart space. A camera network is used to solve the problem of tracking multiple users in a smart space. For robust tracking, tracklets are constructed from human detections and then track-level association is used to combine tracklets to build longer trajectories of users. Lastly, accelerometers in smartphones are used to disambiguate identities of trajectories. The performance of the proposed system is evaluated extensively in experiments.